Mark a conversation as read up to a specific message. This updates your read position so messages up to (and including) the specified message are marked as read.
AI agents use teams_mark_read to create or update resources in Teams MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Teams MCP Server environment.
Marking messages as read is a write operation that modifies metadata about the user's interaction state with a conversation. It is reversible (messages can be marked unread), has no destructive consequences, and does not execute external code or trigger financial transactions. The low severity reflects that misuse would only affect notification/read state with minimal blast radius.
From the tool's definition The tool description states it 'updates your read position so messages up to (and including) the specified message are marked as read.' This is a reversible state change that modifies data (read status) without deletion or side effects.
Attacks that exploit this kind of access
Mark a conversation as read up to a specific message. This updates your read position so messages up to (and including) the specified message are marked as read. It is categorised as a Write tool in the Teams MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Teams MCP Server MCP server in PolicyLayer and add a rule for teams_mark_read: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Teams MCP Server. Nothing to install.
teams_mark_read is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the teams_mark_read rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for teams_mark_read. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
teams_mark_read is provided by the Teams MCP Server MCP server (m0nkmaster/msteams-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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